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Glossary

A

Applied Research

Criticality: 2

Research designed to solve specific, practical problems and directly address real-world issues.

Example:

Developing a new therapeutic technique to reduce symptoms of PTSD in veterans is an example of applied research.

B

Basic Research

Criticality: 2

Research conducted to expand the fundamental knowledge base of a subject, driven by curiosity without an immediate practical goal.

Example:

A psychologist studying how different types of memory are formed in the brain is conducting basic research.

C

Confounding Variable

Criticality: 3

An extraneous factor that is not the independent variable but could influence the dependent variable, potentially leading to a spurious relationship.

Example:

If a study on exercise and mood doesn't account for participants' diet, diet could be a confounding variable affecting their mood.

Control Variable

Criticality: 2

A factor that is kept constant or consistent across all conditions in an experiment to ensure that only the independent variable is affecting the dependent variable.

Example:

In an experiment testing the effectiveness of a new fertilizer, the amount of sunlight and water given to all plants would be control variables.

D

Dependent Variable (DV)

Criticality: 3

The variable that is measured in an experiment and is expected to change in response to the manipulation of the independent variable.

Example:

If a study investigates how different teaching methods affect test scores, the test scores would be the dependent variable.

Double-blind Procedure

Criticality: 3

An experimental procedure in which neither the participants nor the researchers interacting with them know who is in the experimental group and who is in the control group.

Example:

In a drug trial, using a double-blind procedure prevents both patients and doctors from knowing who receives the actual medication versus a placebo, minimizing bias.

E

Experimenter Bias

Criticality: 2

A phenomenon where a researcher's expectations or beliefs about the outcome of a study unintentionally influence the results.

Example:

If a researcher subtly smiles more at participants in the 'treatment' group, potentially influencing their responses, this is an example of experimenter bias.

H

Hawthorne Effect

Criticality: 2

A phenomenon where individuals modify their behavior in response to their awareness of being observed.

Example:

Employees in a factory might temporarily increase their productivity simply because they know a researcher is watching them, illustrating the Hawthorne Effect.

Hindsight Bias

Criticality: 3

The tendency to believe, after learning an outcome, that one would have foreseen it, often referred to as the 'I knew it all along' phenomenon.

Example:

After a sports team wins a championship, fans might claim they 'knew all along' the team would win, demonstrating hindsight bias.

Hypothesis

Criticality: 3

A testable prediction, often derived from a theory, that states a relationship between two or more variables.

Example:

A researcher might form the hypothesis that 'students who get more sleep will perform better on their exams.'

I

Independent Variable (IV)

Criticality: 3

The variable that is manipulated or changed by the researcher in an experiment to observe its effect on another variable.

Example:

In a study examining the effect of caffeine on alertness, the amount of caffeine consumed would be the independent variable.

O

Operational Definition

Criticality: 3

A precise and measurable description of how a variable will be observed and measured in a study, ensuring replicability.

Example:

To study 'aggression,' an operational definition might be 'the number of times a child hits a doll within a 10-minute play session.'

Overconfidence

Criticality: 3

The tendency to be more confident in one's judgments or abilities than is objectively warranted, often leading to errors.

Example:

A student who barely studies but is convinced they will ace the exam is exhibiting overconfidence.

P

Perceiving Order in Random Events

Criticality: 3

The human tendency to find patterns or connections in sequences of random data, even when no such patterns exist.

Example:

After flipping a coin five times and getting tails each time, someone might believe heads is 'due' next, illustrating perceiving order in random events.

R

Random Assignment

Criticality: 3

A procedure in experiments where participants are assigned to experimental or control groups purely by chance, ensuring groups are equivalent at the start.

Example:

To study the effects of a new drug, researchers use random assignment to ensure each participant has an equal chance of receiving the drug or a placebo.

S

Sampling Bias

Criticality: 2

A flaw in the research design where the sample selected for a study does not accurately represent the larger population, leading to skewed results.

Example:

Surveying only college students about national political opinions would likely result in sampling bias because their views may not reflect the entire population.

T

Theory

Criticality: 2

A well-substantiated explanation for a set of observed behaviors or phenomena, providing a framework for understanding.

Example:

Freud's theory of psychosexual development attempts to explain personality formation through childhood stages.